Binary black hole signal probes event horizon region for first time

If, in space, no one can hear you scream, it seems that you can actually hear the sound of a crash when two black holes ...
IEEE

Intuitionistic Fuzzy Stochastic Configuration Networks for Solving Binary Classification Problems

Abstract: Stochastic configuration network (SCN) is an emerging type of random neural network that allocates node parameters via supervised mechanisms to ensure universal approximation capability.
holisticai

Bias Mitigation Strategies and Techniques for Classification Tasks

The bias problem in classification tasks and the different strategies used for bias mitigation. How these strategies are grouped into categories and a brief introduction of the most representative ...
IEEE

The Cost of Dichotomizing Continuous Labels for Binary Classification Problems: Deriving a Bayesian-Optimal Classifier

Abstract: Many pattern recognition problems involve characterizing samples with continuous labels instead of discrete categories. While regression models are suitable for these learning tasks, these ...
Time

Coding Needs to Get Beyond the Gender Binary

Follow this section to personalize your feed and get instant alerts. WHY FOLLOW? Update your preferences in Account Settings Personalized Content Follow this tag to personalize your feed and get ...
Scientific Research Publishing

A Novel Efficient and Effective Preprocessing Algorithm for Text Classification ()

1 College of Information Science and Technology, Jinan University, Guangzhou, China. 2 University of Birmingham Joint Institute, Jinan University, Guangzhou, China. Text classification is an essential ...
Visual Studio Magazine

Binary Classification Using PyTorch, Part 1: New Best Practices

Because machine learning with deep neural techniques has advanced quickly, our resident data scientist updates binary classification techniques and best practices based on experience over the past two ...
PNAS

The Fermi–Dirac distribution provides a calibrated probabilistic output for binary classifiers

While it would be desirable that the output of binary classification algorithms be the probability that the classification is correct, most algorithms do not provide a method to calculate such a ...